Journal of Information System and Computer
Vol. 4 No. 2 (2024): Desember 2024

PREDIKSI JUMLAH PENGANGGURAN DI INDONESIA BERDASARKAN DATA TIME SERIES MENGGUNAKAN REGRESI LINEAR

Apredo Suranta Singarimbun (Unknown)
Dede Brahma Arianto (Unknown)



Article Info

Publish Date
31 Dec 2024

Abstract

Unemployment is a very big problem. The purpose of this research is to predict the number of unemployed people based on the working-age population. To produce an accurate prediction, valid data and a long period of time are needed. This is a reference for forecasting the unemployment population based on the last 5 years. To do forecasting, a method is needed, namely the Linear Regression method. Linear regression is a statistical method that serves to test how far the relationship between the cause variable and the effect variable is. After forecasting, prediction data is obtained in 2025. Where the number of working-age population in 2025 is predicted to be 218.21 million people and the number of unemployed people is 6.77 million people.

Copyrights © 2024






Journal Info

Abbrev

JISTER

Publisher

Subject

Computer Science & IT

Description

Jurnal Jister menyediakan sebuah forum untuk menerbitkan artikel penelitian asli , artikel review dari kontributor , dan berita teknologi baru yang berkaitan dengan sistem informasi. Jurnal ini menampung artikel asli penelitian, artikel review yang meliputi, serta tidak terbatas pada : 1. Bidang ...